Intra-day Electricity Price Forecasting Based on a Time2Vec-LSTM Neural Network Model
Author:
Affiliation:
1. Universidad Autonoma de Occidente,Facultad de Ingenieria,Cali,Colombia
2. Fac. de Ingenieria, Diseno y Ciencias Aplicadas Universidad ICESI,Cali,Colombia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10225685/10225754/10225803.pdf?arnumber=10225803
Reference35 articles.
1. Short-Term Electricity Price and Load Forecasting using Enhanced Support Vector Machine and K-Nearest Neighbor
2. Statsmodels: Econometric and Statistical Modeling with Python
3. Prediction Interval Estimation of Electricity Prices Using PSO-Tuned Support Vector Machines
4. Forecasting day-ahead electricity prices in Europe: The importance of considering market integration
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1. A Stochastic Decision-Making Tool Suite for Distributed Energy Resources Integration in Energy Markets;Energies;2024-05-17
2. Intra-day Electricity Price Forecasting Based on a Time2Vec-LSTM Model;Applications of Computational Intelligence;2023-11-18
3. An Intra-Day Electricity Price Forecasting Based on a Probabilistic Transformer Neural Network Architecture;Energies;2023-09-22
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